想預測每日股價，利用證交所網址，來抓出所需的天數吧

import requests
from io import StringIO
import pandas as pd
import numpy as np
from logging import exception
import datetime
from chinese_calendar import is_workday
from dateutil.relativedelta import relativedelta

抓最近兩個月（近六十天）的收盤價

df_2330_2m = pd.DataFrame({'證券代號':[],	'證券名稱':[],	'成交股數':[],	'成交筆數':[],	'成交金額':[],	'開盤價':[],	'最高價':[],	'最低價':[],	'收盤價':[]})
for i in range(0,60,1):
  date = datetime.datetime.now().date()+relativedelta(days=-i)
  if is_workday(date):
    datestr = date.strftime('%Y%m%d')
    print(datestr)
    #datestr = '20220926'

    # 下載股價
    r = requests.post('https://www.twse.com.tw/exchangeReport/MI_INDEX?response=csv&date=' + datestr + '&type=ALL')
    try:
      # 整理資料，變成表格
      df = pd.read_csv(StringIO(r.text.replace("=", "")), 
                  header=["證券代號" in l for l in r.text.split("\n")].index(True)-1,converters={'證券代號':str},encoding='utf-8')
    
      # 整理一些字串：
      df = df.apply(lambda s: pd.to_numeric(s.astype(str).str.replace(",", "").replace("+", "1").replace("-", "-1"), errors='coerce'))
      df_2330 = df[['證券代號',	'證券名稱',	'成交股數',	'成交筆數',	'成交金額',	'開盤價',	'最高價',	'最低價',	'收盤價']][df['證券代號']==2330]
      df_2330_2m = df_2330_2m.append(df_2330)
    except:
      pass
      print("是休息日")
  else:
    print("是休息日")